ANALYSIS AND STUDY OF LIBRARY INFORMATION BASED ON CLUSTERING ALGORITHM

被引：0

作者：

Song, Chang-xin ^{[1
]}

机构：

[1] Qinghai Normal Univ, Inst Comp Informat & Technol, Qinghai, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2009), VOLS 1 AND 2 | 2009年

关键词：

data mining; clustering algorithm; information analysis;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Clustering can help analysts to find the preference for books and the love for different types of new books of readers with different titles at different stages. This paper enumerates the clustering algorithm based on objective function commonly used in data mining and uses fuzzy C-means (FCM) clustering algorithm to carry out fuzzy clustering mining for the data warehouse established based on library log information, thereby mining book types loved by most readers.

引用

页码：1549 / 1555

页数：7